Some healthcare experts point to an “immunity gap” tied to the COVID-19 pandemic, while others suggest alternative theories such as temporary immunodeficiency brought on by COVID-19. In most cases, RSV causes “mild, cold-like symptoms,” but the CDC states it also can cause serious illness, especially for infants, young children, and older adults, leading to emergency room visits, hospitalizations, and an increased demand for clinical laboratory testing.
Pulmonology Advisor reported that the disease typically peaks between December and February, but hospitalizations this season hit their peak in November with numbers far higher than in previous years. In addition to infants and older adults, children between five and 17 years of age were “being hospitalized far in excess of their numbers in previous seasons,” the publication reported.
“Age by itself is a risk factor for more severe disease, meaning that the younger babies are usually the ones that are sick-sick,” pediatrician Asuncion Mejias, MD, PhD (above), a principal investigator with the Center for Vaccines and Immunity at Nationwide Children’s Hospital in Columbus, Ohio, told MarketWatch. Now, she added, “we are also seeing older kids, probably because they were not exposed to RSV the previous season.” Clinical laboratories in hospitals caught the brunt of those RSV inpatient admissions. (Photo copyright: Nationwide Children’s Hospital.)
Did COVID-19 Cause Immunity Gap and Surge in Respiratory Diseases?
CDC data shows that hospitalization rates linked to RSV have steadily declined since hitting their peak of 5.2 per 100,000 people in mid-November. In contrast, hospitalizations linked to the flu peaked in late November and early December at 8.7 per 100,000. Hospitalizations linked to COVID 19—which still exceed those of the other respiratory diseases—reached a plateau of 9.7 per 100,000 in early December, then saw an uptick later that month before declining in the early part of January, 2023, according to the CDC’s Respiratory Virus Hospitalization Surveillance Network (RESP-NET) dashboard.
Surveillance by the CDC’s National Center for Immunization and Respiratory Diseases (NCIRD) revealed a similar pattern: An early peak in weekly numbers for emergency room visits for RSV, followed by a spike for influenza and steadier numbers for COVID-19.
So, why was the RSV outbreak so severe?
Respiratory diseases tend to hit hardest in winter months when people are more likely to gather indoors. Beyond that, some experts have cited social distancing and masking requirements imposed in 2020 and 2021 to limit the spread of COVID 19. These measures, along with school closures, had the side effect of reducing exposure to influenza and RSV.
“It’s what’s being referred to as this ‘immunity gap’ that people have experienced from not having been exposed to our typical respiratory viruses for the last couple of years, combined with reintroduction to indoor gatherings, indoor venues, indoor school, and day care without any of the mitigation measures that we had in place for the last couple of years,” infectious disease expert Kristin Moffitt, MD, of Boston Children’s Hospital told NPR.
Term ‘Immunity Debt’ Sparks Controversy
Other experts have pushed back against the notion that pandemic-related public health measures are largely to blame for the RSV upsurge. Many have objected to the term “immunity debt,” a term Forbes reported on in November.
“Immunity debt is a made-up term that did not exist until last year,” pediatrician Dave Stukus, MD, wrote on Twitter. Stukus is a Professor of Clinical Pediatrics in the Division of Allergy and Immunology at Nationwide Children’s Hospital in Columbus, Ohio.
An article published by Texas Public Radio (TPR) suggests further grounds for skepticism, stating that “the immunity debt theory doesn’t seem to hold up to scrutiny.”
“That was sort of the great unmasking, and everybody got viral illnesses,” she told TPR. “Now we’re past that. We’ve already been through that. We should have some immunity from that and we’re having it again.”
She added that “the hospital is filled with babies who are less than a year of age who have RSV infection. Those children weren’t locked down in 2020.”
The story also noted that not all Americans complied with social distancing or masking guidelines.
“We’re not seeing [less viral illness in] states in the United States that were less strict compared to states that were stricter during mask mandates and things like that. All the states are being impacted,” Barton told TPR.
Perfect Storm of Demand for Clinical Laboratory Testing
Barton suggested that COVID-19 might have compromised people’s immune systems in ways that made them more susceptible to other respiratory diseases. For example, a study published in Nature Immunology, titled, “Immunological Dysfunction Persists for Eight Months following Initial Mild-to-Moderate SARS-CoV-2 Infection,” found that some patients who survived COVID-19 infection developed post-acute long COVID (LC, aka, COVID syndrome) which lasted longer than 12 weeks. And that “patients with LC had highly activated innate immune cells, lacked naive T and naive B cells, and showed elevated expression of type I IFN (IFN-β) and type III IFN (IFN-λ1) that remained persistently high at eight months after infection.”
Experts speaking to The Boston Globe said that multiple factors are likely to blame for the severity and early arrival of the RSV outbreak. Pediatric hospitalist and infectious disease specialist Chadi El Saleeby, MD, of Massachusetts General Hospital, said the severity of some cases might be tied to simultaneous infection with multiple viruses.
Clinical laboratories experienced a perfect storm of infectious disease testing demands during this tripledemic. Hopefully, with the arrival of spring and summer, that demand for lab tests will wane and allow for a return to a normal rate of traditional laboratory testing.
Researchers at the university suggested their findings could lead to new genetic tests that could be offered by medical laboratories
New research conducted at the University of Utah suggests that clinical laboratories may someday be able to deploy genetic tests to indicate whether a couple has a higher-than-average risk of stillbirth.
This is yet another example of how researchers are cracking DNA’s code to understand how certain gene variants may affect the healthcare of offspring. The knowledge produced by this research, as confirmed by additional studies, may lead to genetic markers that medical laboratories can use to diagnose the risk of stillbirth using the parent’s DNA.
“Stillbirth is one of those problems that is so tragic and life-changing,” said study co-author Jessica Page, MD (above). “It is especially frustrating when you don’t have a good answer for why it happens. This knowledge may give us the opportunity to change how we risk stratify people and reduce their risk through prevention.” Should this research be validated, clinical laboratories may soon have new genetics tests to help doctors identify risk for stillbirth. (Photo copyright: Intermountain Healthcare.)
Can Stillbirth be Prevented?
Jessica Page, MD, an assistant professor in the Department of Obstetrics and Gynecology at the University of Utah School of Medical and co-author of the 2022 study, was lead author of a 2018 study that estimated nearly one-fourth of stillbirths are preventable.
“Stillbirth rate reduction has been slow in the US and we think many stillbirths may be potentially preventable,” she said in a university press release. “This is motivating us to look for those genetic factors so we can achieve more dramatic rate reduction.”
According to the press release, the University of Utah researchers found that stillbirth “can be inherited and tends to be passed down through male members of the family. That risk preferentially comes from the mother’s or father’s male relatives—their brothers, fathers, grandfathers, uncles, or male cousins. But the odds of a couple losing a baby to stillbirth are even greater when the condition comes from the father’s side of the family.”
The researchers made this discovery by analyzing data from the Utah Population Database (UPDB), which contains information on eight million people who were born in the state or have other connections there. The database is maintained by the Huntsman Cancer Institute at the University of Utah. It includes genealogical information and health records that allowed the researchers to trace incidence of stillbirths across multiple generations of families.
The researchers examined 9,404 stillbirth cases between 1978 and 2019, along with 18,808 live births that served as controls. They identified 390 multi-generational families with high numbers of stillbirths. Within that group, they looked at incidence of stillbirth among first-, second-, and third-degree relatives of stillborn babies. They then compared those numbers with data from unaffected families.
“We were able to evaluate multigenerational trends in fetal death as well as maternal and paternal lineages to increase our ability to detect a familial aggregation of stillbirth,” said genetic epidemiologist Tsegaselassie Workalemahu, PhD, lead author of the study. “Not many studies have examined inherited genetic risk for stillbirth because of a lack of data. The Utah Population Database allows for a more rigorous evaluation than has been possible in the past.”
Workalemahu described the research as “an important step toward identifying specific genes that increase the risk of stillbirth, which could one day lead to better diagnosis and prevention,” according to the university press release.
One caveat, the press release notes, is that Utah’s population is disproportionately of northern European descent. “Future studies will need to determine whether the trends hold true among people of different races and ethnicities,” it stated.
Call for More Testing
The University of Utah study is part of a larger effort to gain a greater understanding of the causes of stillbirths.
The story notes that “more than 20,000 pregnancies in the US end in stillbirth,” and in one in three of those cases, the cause is not determined.
Drucilla Roberts, MD, an obstetric and perinatal pathologist at Massachusetts General Hospital (MGH), told ProPublica that at a minimum, “the placenta should definitely be evaluated in every stillbirth.” But citing CDC data, the story notes that this is done in only 65% of stillbirths, and autopsies are performed in less than 20%.
“Experts blame the low rates on several factors,” the story states. “Because an autopsy often is performed in the days following a stillbirth, doctors and nurses have to ask families soon after they receive news of the death if they would like one. Many families can’t process the loss, let alone imagine their baby’s body being cut open. What’s more, many doctors aren’t trained in the advantages of an autopsy, or in communicating with parents about the exam.”
One consequence, ProPublica notes, is that clinicians are ill-equipped to advise patients on how to reduce risk in future pregnancies. The story describes the case of Karen Gibbins, MD, a maternal-fetal medicine specialist and an assistant professor of obstetrics and gynecology at the Oregon Health and Science University (OHSU) in Portland.
An Opportunity for Pathologists
Gibbins’ son was stillborn in 2018. She asked for an autopsy and learned that her son “had a rare disease caused by her antibodies attacking the cells in his liver,” the story states. When she became pregnant again, her doctor prescribed antibody infusions and she later gave birth to a healthy son. “If we had not had that autopsy, my third child would have died as well,” she told ProPublica.
This parent’s comment about the value of the autopsy done after her son’s stillbirth identifies an opportunity for the pathology profession. For several decades, health plans have become ever more reluctant to pay for autopsies. Yet, pathologists know the value that autopsies can provide.
The immediate value comes from revealing useful insights about all the health conditions of the deceased. The long-term value comes from the ability to gather the findings across a large number of autopsies that can contribute to new knowledge about health conditions that physicians use to improve the diagnoses of different health conditions.
Thus, with the publication of this peer-reviewed study about the connection between genetic variations and stillbirth, there is the opportunity for some of the nation’s pathology societies to advocate for funding a pilot program to fund more autopsies of stillborn babies, specifically to add more knowledge about the role of gene mutations as a causative factor in stillbirths.
Viral reservoir could be behind persistence, says study, which also suggests a blood biomarker could be found for clinical laboratory testing
Microbiologists and virologists working closely with physicians treating long COVID-19 patients will gain new insights in a study that found coronavirus spike protein in COVID-19 patients’ blood up to 12 months after diagnosis. The researchers believe their findings could be used to develop a clinical laboratory biomarker for long COVID-19.
Researchers at Brigham and Women’s Hospital and Massachusetts General Hospital said medical experts are not sure why some people have unwelcome symptoms weeks and months after a positive COVID-19 diagnosis, while others clear the infection without lingering effects.
The scientists believe if this work is validated, clinical laboratories might gain an assay to use in the diagnosis of long COVID-19.
“The half-life of spike protein in the body is pretty short, so its presence indicates that there must be some kind of active viral reservoir,” said David Walt, PhD (above), Professor of Pathology, Brigham and Women’s Hospital, and lead author of the study that found coronavirus spike protein in long COVID patients. The study findings indicate a potential clinical laboratory biomarker for long COVID-19. (Photo copyright: Brigham and Women’s Hospital.)
Viral Reservoir Possibly Behind Long COVID-19
The study suggests that SARS-CoV-2 finds a home in the body, particularly the gastrointestinal tract, “through viral reservoirs, where it continues to release spike protein and trigger inflammation,” Medical News Today reported.
Lead author of the study David Walt, PhD, Professor of Pathology, Brigham and Women’s Hospital and the Hansjörg Wyss Professor Biologically Inspired Engineering at Harvard Medical School, told The Guardian he “was motivated to carry out the study after earlier research by his colleagues detected genetic material from the COVID virus (viral RNA) in stool samples from children with multisystem inflammatory syndrome (a rare but serious condition that often strikes around four weeks after catching COVID) as well as spike protein and a marker of gut leakiness in their blood.”
Long COVID—also known as long-haul COVID, post-COVID-19, or its technical name, post-acute sequelae of COVID-19 or PASC—can involve health problems continuing weeks, months, or even years after a positive diagnosis, according to the federal Centers for Disease Control and Prevention (CDC).
Symptoms of long COVID, according to the researchers, include:
fatigue,
loss of smell,
memory loss,
gastrointestinal distress, and
shortness of breath.
“If someone could somehow get to that viral load and eliminate it, it might lead to resolution of symptoms,” Walt told the Boston Globe, which noted that the researchers may explore a clinical trial involving antiviral drugs for treatment of long COVID-19.
Clues from Earlier Studies on Long COVID-19
Medical conditions that persisted following a COVID-19 infection have been studied for some time. In fact, in an earlier study, Walt and others found children who developed a multisystem inflammation syndrome weeks after being infected by SARS-CoV-2, according to their 2021 paper published in The Journal of Clinical Investigation, titled, “Multisystem Inflammatory Syndrome in Children Is Driven by Zonulin-Dependent Loss of Gut Mucosal Barrier.”
Although these earlier studies provided clues, the cause of PASC remains unclear, the researchers noted. They planned to take a more precise look at PASC biology by using appropriate sampling and patient recruitment.
“Disentangling the complex biology of PASC will rely on the identification of biomarkers that enable classification of patient phenotypes. Here, we analyze plasma samples collected from PASC and COVID-19 patients to determine the levels of SARS-CoV-2 antigens and cytokines and identify a blood biomarker that appears in the majority of PASC patients,” the researchers wrote.
Finding a Marker of a Persistent Infection
The researchers used plasma samples from 63 people with a previous SARS-CoV-2 diagnosis (37 also had PASC), Medical News Today reported. Over a 12-month period, the researchers’ findings included:
Detection in 65% of PASC samples of full-length spike, S1 spike, and nucleocapsid throughout the year of testing.
Spike detected in 60% of PASC patient samples, and not found in the COVID-19 samples.
In an interview with Scientific American, bioengineer Zoe Swank PhD, post-doctoral researcher, Brigham and Women’s Hospital, and co-author of the study, said, “Our main hypothesis is that the spike protein is not causing the symptoms, but it’s just a marker that is released because you still have infection of some cells with SARS-CoV-2.”
In that article, Swank shared the scientists’ intent to do more research involving hundreds of samples over the course of the COVID-19 pandemic from many hospitals and people.
COVID-19 Not the Only Virus That Hangs On
Having a long-haul COVID-19 marker is a “game-changer,” according to an infectious disease expert who was not involved in the study.
“There has not so far been a clear, objective marker that is measurable in the blood of people experiencing long COVID-19,” Michael Peluso, MD, Assistant Professor, Medicine, University of California San Francisco, told Scientific American. “I hope their findings will hold up. It really would make a difference for a lot of people if a marker like this could be validated,” he added.
However, COVID-19 is not the only virus that could persist. Ebola also may linger in areas that skirt the immune system, such as the eye interior and central nervous system, according to a World Health Organization fact sheet.
Thus, medical laboratory leaders may want to follow the Brigham and Women’s Hospital research to see if the scientists validate their finding, discover a biomarker for long-haul COVID-19, and pursue a clinical trial for antiviral drugs. Such discoveries could have implications for how diagnostic professionals work with physicians to care for long COVID patients.
Experts say it is time ‘to restore our confidence in vaccines’ as many medical laboratories take steps to support testing for the polio virus
Clinical laboratories and microbiologists in the state of New York will want to know that, in July, a man in New York was diagnosed with polio and subsequently the virus was detected in the wastewater of two New York counties.
The area, Rockland County, N.Y., just north of New York City, was also at the forefront of a measles outbreak that occurred in 2018 and 2019. The outbreak was attributed to low vaccination rates within the community.
The unidentified, immunocompetent young man was admitted to a New York hospital after experiencing a low-grade fever, neck stiffness, back and abdominal pain, constipation, and lower extremity weakness. He eventually developed paralysis from the disease, which is irreversible.
Poliomyelitis, commonly known as polio, is a disabling and life-threatening disease that is caused by the poliovirus. Though it rarely surfaces in the United States, there is now confirmation of the first US case since 2013.
“The polio vaccine is safe and effective, protecting against this potentially debilitating disease, and it has been part of the backbone of required, routine childhood immunizations recommended by health officials and public health agencies nationwide,” said Mary T. Bassett, MD (left), Health Commissioner at the New York Department of Health, in a press release. Clinical laboratories and microbiologists in New York may want to prepare for an increase in vaccination requests. (Photo copyright: Time.)
Is Polio Back in America? Clinical Laboratories Will Want to Be Prepared
“I think it’s concerning because it can spread,” epidemiologist Walter Orenstein, MD, Professor, Department of Medicine, Division of Infectious Diseases at Emory University School of Medicine told STAT. “If there are unvaccinated communities, it can cause a polio outbreak.”
According to the federal Centers for Disease Control and Prevention (CDC), public health experts are working diligently to discover how and where the infected individual contracted polio. The CDC website states that the risk for people who have received the polio vaccine is very low, but there is concern for those who have not received the recommended doses of the vaccine.
“Most of the US population has protection against polio because they were vaccinated during childhood, but in some communities with low vaccine coverage, there are unvaccinated people at risk,” the CDC noted. “Polio and its neurologic effects cannot be cured but can be prevented through vaccination.”
The US uses an injectable polio vaccine for the poliovirus which contains killed viruses. The vaccine “instructs” the immune system to recognize and combat the virus. This inactivated polio vaccine (IPV) is administered to children as a shot in the arm or leg and is typically given in four separate doses.
“The inactivated polio vaccine we have is very effective and very safe and could have prevented this,” Orenstein told STAT. “We need to restore our confidence in vaccines.”
“Based on what we know about this case, and polio in general, the (New York) Department of Health strongly recommends that unvaccinated individuals get vaccinated or boosted with the FDA-approved IPV polio vaccine as soon as possible,” said Mary T. Bassett, MD, Health Commissioner at the New York Department of Health in a press release.
Poliovirus Found in Wastewater via Use of Gene Sequencing
Poliovirus is very contagious and is transmitted through person-to-person contact. The virus lives in an infected person’s throat and intestines and can contaminate food and water in unsanitary conditions. According to the CDC, typical symptoms of the illness include flu-like symptoms such as:
Sore throat
Fever
Tiredness
Nausea
Headache
Stomach pain
Most of these symptoms will disappear within five days, but polio can invade the nervous system and cause more serious complications, such as meningitis, paralysis, and even death.
After confirmation of the new case of polio, wastewater surveillance detected the presence of the poliovirus in Rockland and Orange counties, New York.
Wastewater analysis can uncover pathogens within a community and has been used in the fight against other infectious diseases, including:
“In some regards, wastewater is a public health dream scenario,” said Mark Siedner, MD, an infectious disease doctor at Massachusetts General Hospital and associate professor at Harvard Medical School, in an interview with Fortune. “Everyone poops, and most people poop every day. It provides real-time data on infection rates. In that regard, it’s an extremely powerful tool, particularly good at detecting early warning signs. Before people get sick, we might get a signal.”
Wastewater analysis can provide insights regarding the types of viruses that people within a community are shedding and if the volume of those viruses are increasing. This information can provide scientists with an early marker for an outbreak of an illness that is on the verge of spreading.
Microbiologists and clinical laboratories should be aware of the specific types of infectious agents public health authorities are detecting in wastewater, even as they perform screening and diagnostic tests on their patients for similar infectious diseases.
Polio is Appearing Worldwide
The Global Polio Eradication Initiative (GPEI) has announced that new cases of polio have been reported in Israel and the United Kingdom. These are countries where polio cases are extremely rare.
This indicates that microbiologists and clinical laboratories managers will want to be on constant alert for uncommon infectious diseases that may appear suddenly, even if those illnesses are rare. Accurate and immediate diagnoses of such infectious diseases could play a major role in triggering a public health response to control potential outbreaks while they are in their earlier stages.
The technology is similar to the concept of a liquid biopsy, which uses blood specimens to identify cancer by capturing tumor cells circulating in the blood.
According to the American Cancer Society, lung cancer is responsible for approximately 25% of cancer deaths in the US and is the leading cause of cancer deaths in both men and women. The ACS estimates there will be about 236,740 new cases of lung cancer diagnosed in the US this year, and about 130,180 deaths due to the disease.
Early-stage lung cancer is typically asymptomatic which leads to later stage diagnoses and lowers survival rates, largely due to a lack of early disease detection tools. The current method used to detect early lung cancer lesions is low-dose spiral CT imaging, which is costly and can be risky due to the radiation hazards of repeated screenings, the news release noted.
MGH’s newly developed diagnostic tool detects lung cancer from alterations in blood metabolites and may lead to clinical laboratory tests that could dramatically improve survival rates of the deadly disease, the MGH scientist noted in a news release.
“Our study demonstrates the potential for developing a sensitive screening tool for the early detection of lung cancer,” said Leo Cheng, PhD (above), in the news release. Cheng is Associate Professor of Radiology at Harvard Medical School and Associate Biophysicist in Radiology at Massachusetts General Hospital. “The predictive model we constructed can identify which people may be harboring lung cancer. Individuals with suspicious findings would then be referred for further evaluation by imaging tests, such as low-dose CT, for a definitive diagnosis,” he added. Oncologists may soon have a clinical laboratory test for screening patients with early-stage lung cancer. (Photo copyright: OCSMRM.)
Detecting Lung Cancer in Blood Metabolomic Profiles
The MGH scientists created their lung-cancer predictive model based on magnetic resonance spectroscopy which can detect the presence of lung cancer from alterations in blood metabolites.
The researchers screened tens of thousands of stored blood specimens and found 25 patients who had been diagnosed with non-small-cell lung carcinoma (NSCLC), and who had blood specimens collected both at the time of their diagnosis and at least six months prior to the diagnosis. They then matched these individuals with 25 healthy controls.
The scientists first trained their statistical model to recognize lung cancer by measuring metabolomic profiles in the blood samples obtained from the patients when they were first diagnosed with lung cancer. They then compared those samples to those of the healthy controls and validated their model by comparing the samples that had been obtained from the same patients prior to the lung cancer diagnosis.
The predictive model yielded values between the healthy controls and the patients at the time of their diagnoses.
“This was very encouraging, because screening for early disease should detect changes in blood metabolomic profiles that are intermediate between healthy and disease states,” Cheng noted.
The MGH scientists then tested their model with a different group of 54 patients who had been diagnosed with NSCLC using blood samples collected before their diagnosis. The second test confirmed the accuracy of their model.
Predicting Five-Year Survival Rates for Lung Cancer Patients
Values derived from the MGH predictive model measured from blood samples obtained prior to a lung cancer diagnosis also could enable oncologists to predict five-year survival rates for patients. This discovery could prove to be useful in determining clinical strategies and personalized treatment decisions.
The researchers plan to analyze the metabolomic profiles of the clinical characteristics of lung cancer to understand the entire metabolic spectrum of the disease. They hope to create similar models for other illnesses and have already created a model that can distinguish aggressive prostate cancer by measuring the metabolomics profiles of more than 400 patients with that disease.
In addition, they are working on a similar model to screen for Alzheimer’s disease using blood samples and cerebrospinal fluid.
More research and clinical studies are needed to validate the utilization of blood metabolomics models as early screening tools in clinical practice. However, this technology might provide pathologists and clinical laboratories with diagnostic tests for the screening of early-stage lung cancer that could save thousands of lives each year.
